Fine-tune any open models

Agentic engine that adaptively improves your models while in production.

Build your SOTA models

See how it works

AGENTIC FINE-TUNING

Pioneer fine-tunes your model in one prompt.

HOW IT WORKS

It ships an update only when your model is better.

Get Started

Point it at a task.

Pick an open model, describe the task in plain English, ship the endpoint. We handle the eval set, the routing, the autoscaling.

Watch every request.

Live traffic streams into a private, in-region eval store. We auto-cluster confusing inputs and surface where the model is hesitating.

Quietly retrain.

Once a cluster of confusion is big enough, Pioneer kicks off a LoRA run on a separate fleet, validates against your evals, and hot-swaps the adapter. You get a changelog.

Improve state of the art open source models

Gemma 4

Lightweight open model for fast, low-latency coding tasks.

DeepSeek V4

Best for structured reasoning, code generation, and precise analytical tasks

Llama 4

Strong at general reasoning, summarization, and conversational chat at speed.

Start by selecting an open source model

Qwen

Coding Reasoning Multilingual

Ideal for global products and complex reasoning chains.

GLiNER2

Extraction Classification Tool Calling

Small model for agent text processing and LLM model routing.

Llama 3

RAG Summarization Chat

Meta's best open-source model for general-purpose tasks.

DeepSeek

Agents Coding Planning

One of the most capable open-source models for code and reasoning

IMPROVE STATE OF THE ART OPEN SOURCE MODELS

Thomas Dohmke

CEO @ GitHub

“Pioneer is making AI

accessible for a future with

1B developers”

“Pioneer is making AI more accessible for a future with 1B developers”

BUILT ON SOTA RESEARCH

State-of-the-art Research

SOTA model research. Leading model research team building small models for coding, conversational AI, agentic systems, search, and multimodality.

Data agent. State-of-the-art data tooling that outperforms existing synthetic data tools on accuracy, diversity, and task-specific output.

Adapative Inference. State-of-the-art research in reinforcement learning from production feedback, advancing how models self-improve.

Adaptive Inference. State-of-the-art research in reinforcement learning from production feedback, advancing how models self-improve.

Fastino Inc. ("Fastino") develops specialized AI models and provides APIs designed to support structured data extraction, classification, reasoning, and production AI workflows. Fastino is a technology company and does not provide legal, financial, compliance, or advisory services. Any outputs, predictions, classifications, or decisions generated through Fastino models are based on the configuration, data, and implementation provided by the customer. Fastino does not control, verify, or guarantee the accuracy, completeness, or suitability of model outputs for any specific purpose. By using this website or Fastino's models and services, you acknowledge that all content and outputs are provided for informational and operational purposes only and agree to our Terms of Use and Privacy Policy.